Amama Mahmood

schoolJohns Hopkins Universitybar_chart#2513 Global Rank

Total Papers

HCI Rank

#2513

Research Areas

Years Active

Recent Publications

"Mango Mango, How to Let The Lettuce Dry Without A Spinner?'': Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner

The rapid advancement of Large Language Models (LLMs) has created numerous potentials for integration with conversational assistants (CAs) assisting people in their daily tasks, particularly due to their extensive flexibility. However, users' real-world experiences interacting with these assistants remain unexplored.…

CHI '251st AuthorIntelligent Voice Assistants (Alexa, Siri, etc.) +3

Voice Assistants for Health Self-Management: Designing for and with Older Adults

Supporting older adults in health self-management is crucial for promoting independent aging, particularly given the growing strain on healthcare systems. While voice assistants (VAs) hold the potential to support aging in place, they often lack tailored assistance and present usability challenges. We addressed these…

CSCW '241st AuthorSession 4e: Navigating AI Ethical Challenges

Gender Biases in Error Mitigation by Voice Assistants

Commercial voice assistants are largely feminized and associated with stereotypically feminine traits such as warmth and submissiveness. As these assistants continue to be adopted for everyday uses, it is imperative to understand how the portrayed gender shapes the voice assistant's ability to mitigate errors, which a…

IUI '222nd AuthorVisual Impairment Technologies (Screen Readers, Tactile Graphics, Braille) +1

Crowdsourcing Thumbnail Captions Using Time-Constrained Methods

Blind and Visually Impaired (BVI) individuals rely on captions to consume images; however, current methods using single captions may be ineffective at browsing through large quantities of images. This is because longer captions require more time to consume, whereas shorter captions may hinder the ability to understand…

CHI '221st AuthorAgent Personality & Anthropomorphism +1

Owning Mistakes Sincerely: Strategies for Mitigating AI Errors

Interactive AI systems such as voice assistants are bound to make errors because of imperfect sensing and reasoning. Prior human-AI interaction research has illustrated the importance of various strategies for error mitigation in repairing the perception of an AI following a breakdown in service. These strategies incl…

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